Search results

Humanitarian logistics has for a long time been argued to be a new discipline. Now that even the Journal of Humanitarian Logistics and Supply Chain Management (JHLSCM) has existed over a decade, it is time to take a closer look at its evolution. This article provides some understanding for the developments of humanitarian logistics over the past decade, reveals current trends and discovers what lies behind the curtains in the humanitarian logistics and supply chain management discipline.

This article brings in developments and discussions in humanitarian logistics practice into the research domain.

The article conveys the concerns of humanitarian logistics practitioners to research. These include the backlash from the COVID-19 pandemic as a prime current concern, and also other longer-term issues and developments.

The themes identified in the article can be used to inform a research agenda in humanitarian logistics and supply chain management. The article revisits a framework of global events and their cascading impacts to include non-linearities and multiple disruptions from evolutionary disasters such as the COVID-19 pandemic.

The article argues for more collaborative and co-designed research to increase the relevance and impact of humanitarian logistics.

Wider societal views are brought into the area of humanitarian logistics.

The article highlights the gaps that remain in humanitarian logistics and supply chain management research.

This chapter examines how implementation of SDG solutions can be improved through adaptive strategies. Many so-called blueprint strategies are inflexible during implementation and underestimate the importance fitting general goals and plans to shifting local needs and contexts. The chapter emphasizes the importance of identifying the specific types of dynamic challenges that will prompt the need for adaptation when implementing sustainability strategies. Adaptive cocreation provides a valuable framework for overcoming traps of various sorts that may block implementation. The problem-driven iterative adaptation (PDIA) model is introduced as one approach to adaptation. PDIA is particularly valuable for achieving bottom-up integration of SDGs and projects. Finally, the chapter considers the importance of social learning as a strategy for collaborative adaptation.

The purpose of this systematic review is to highlight some of the business model changes restaurants, bars and beverage producers undertook to modify their operations in order to not only stay in business but also to better serve their employees and communities during the COVID-19 crisis.

An analysis was conducted on 200 industry articles and categorized into three major themes: expansion of take-out/delivery, innovative practices, and community outreach/corporate support, each are further subdivided into additional themes. The systematic review is further supported by personal interviews with industry professionals.

This research finds that there were many different approaches used in adjusting business models in response to the dining restrictions put in place due to COVID-19. From these approaches, themes were developed which resulted in uncovering some suggestions such as developing contingency plans, being flexible and creative, eliminating menu items, investing in a communication platform and getting involved with local government. In addition, some practices operators should be mindful of such as selling gift cards and starting a crowdfund.

This research provides a systematic analysis of business model changes that occurred due to COVID-19 dining restrictions. Researchers can use this information as a guide for further analysis on a specific theme introduced herein.

This research offers several practical implications which will assist the industry should another similar event occur in the future. The systematic analysis describes and documents some suggestions as well as practices to be mindful of in preparing contingency plans for the future.

This research documents an unprecedented time for the hospitality industry by examining how restaurant, bar and beverage producers around the country responded to COVID-19 restrictions. Distilling the multitude of information into succinct themes that highlight the business model changes that occurred will aid future research as well as operators.

In this paper, the authors argue that the blueprint that was organically developed over the course of approximately three centuries, from The Grand Tour to this day, is likely to see something close to a repeat in the development of that final frontier.

The study used the methodology of reviewing the literature and model comparison.

Opportunities will expand and change along the same trends that lead The Grand Tour to evolve into mass tourism, because as in the past people's perceptions about what is possible and reasonable will change the more common such once fictional ideas become reality.

Nothing is in the current tourism literature, on this topic. This is new and unique.

Total factor productivity (TFP) has become a prominent concept in agriculture economics and policy over the last three decades. The main aim of this paper is to obtain a detailed picture of the field via bibliometric analysis to identify research streams and future research agenda.

The data sample consists of 472 papers in several bibliometric exercises. Citation and collaboration structure analyses are employed to identify most important authors and journals and track the interconnections between main authors and institutions. Next, content analysis based on bibliographic coupling is conducted to identify main research streams in TFP.

Three research streams in agricultural TFP research were distinguished: TFP growth in developing countries in the context of policy reforms (1), TFP in the context of new challenges in agriculture (2) and finally, non-parametric TFP decomposition based on secondary data (3).

This research indicates agenda of future TFP research, in particular broadening the concept of TFP to the problems of policy, environment and technology in emerging countries. It provides description of the current state of the art in the agricultural TFP literature and can serve as a “guide” to the field.

This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over that time, PMM has emerged as an influential force in universities that impacts their operations and redefines their identity.

A structured literature review approach was used to analyse a sample of articles on PMM research from a broad range of disciplines over four decades. This was undertaken to understand the impacts of PMM practices on universities, highlight changes over time and point to avenues for future research.

The analysis highlights the fact that research on PMM in universities has grown significantly over the 40 years studied. We provide an overview of published articles over four decades regarding content, themes, theories, methods and impacts. We provide an empirical basis for discussing past, present and future university PMM research. The future research avenues offer multiple provocations for scholars and policymakers, for instance, PMM implementation strategies and relationships with various government programs and external evaluation and the role of different actors, particularly academics, in shaping PMM systems.

Unlike a traditional literature review, the structured literature review method can develop insights into how the field has changed over time and highlight possible future research. The sample for this literature review differs from previous reviews in covering a broad range of disciplines, including accounting.

Background: The concept of the ideas-informed society represents a desired situation in which: (1) citizens see value in staying up to date, and (2) citizens regularly keep themselves up to date by actively engaging with new ideas, developments and claims to truth, doing so both openly and critically. As a result, individuals become ever more knowledgeable, are better able to make good decisions, as well as find themselves in better position to re-align their values in response to new progressive norms and beliefs. Given these potential benefits, of primary interest are those who do not value staying up to date, nor attempt to do so.

Methods: With this systematic review we have sought to identify ways to consider how such “ideas refusers” might be switched-on to engaging with new ideas. We have done so by exploring: (1) the factors which act as barriers to and enablers of the actualisation of the ideas-informed society; (2) interventions/programmes and community-led activities developed to actualise the ideas-informed society; and (3) other non-empirically tested/verified suggestions for how the ideas-informed society might be actualised. Our findings derive from 25 research outputs (from a total of 631 originally identified) as well as examine case studies of “bottom-up” analogous activities.

Results: Our review highlights the presence of seemingly impactful approaches to enabling citizens to engage with new ideas, including science cafés and museum exhibitions. Other more bottom-up approaches include community-based events and festivals; social networks (and discussion within these networks) are also key to whether and how individuals engage with ideas, and the breadth of ideas they engage with.

Conclusions: We conclude by suggesting development and rigorous testing is now needed of interventions that seek to: (1) pique citizens’ curiosity; (2) establish connections to social networks and; (3) arm citizens with essential ideas-related dispositions.

This mixed-method, collaborative study investigated parents’ perceptions of STEM (Science, Technology, Engineering and Mathematics) learning through use of STEM kits specifically designed for in-home use by parents and preschool-age children.

Parents with a child attending a community-based childhood development center and ranging in age from three to four were invited to participate. Data were analyzed for the participants’ surveys, which were completed at two different times (pre and post) for this study.

After utilizing the STEM materials with their child over a two-week period, the parents’ perceptions of STEM content changed. The results indicate that regardless of the at-home STEM materials, positive outcomes for their child occurred, including the likelihood that their child would pursue additional STEM opportunities.

With a small sample size and a short timeframe for conducting the study, the results lack generalizability. The findings add information about the effectiveness of STEM materials for preschoolers while providing insight into educational opportunities in home environments.

As the nation addresses workforce shortages in many areas, including STEM, rethinking STEM education during the first five years is important. The more opportunities for young children to engage in meaningful STEM, the greater the potential to pique interest and develop critical thinking skills.

This paper investigates how the adoption of additive manufacturing (AM) impacts upstream supply chain (SC) design and considers the influence of drivers and barriers towards the adoption.

Ten case studies investigating AM adoption by Original Equipment Manufacturers (OEMs) in five industries were conducted. This research is driven by a literature-based framework, and the results are discussed according to the theory of transaction cost economics (TCE).

The case studies reveal four patterns of AM adoption that affect upstream SC design (due to changes in supply base or types of buyer–supplier relationships): make, buy, make and buy and vertical integration. A make or buy decision is based on the level of experience with the technology, on the AM application (rapid manufacturing, prototyping or tooling) and on the need of control over production. Other barriers playing a role in the decision are the high initial investments and the lack of skills and knowledge.

This paper shows how different decisions regarding AM adoption result in different SC designs, with a specific focus on the upstream SC and changes in the supply base. This research is among the first to provide empirical evidence on the impact of AM adoption on upstream SCs and to identify drivers of the make or buy decision when adopting AM through the theoretical lens of TCE.

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.